"Assuring Data Trustworthiness - Concepts and Research Challenges"

Today, more than ever, there is a critical need for organizations to share data within and across the organizations so that analysts and decision makers can analyze and mine the data, and make effective decisions. However, in order for analysts and decision makers to produce accurate analysis and make effective decisions and take actions, data must be trustworthy. Therefore, it is critical that data trustworthiness issues, which also include data quality, provenance and lineage, be investigated for organizational data sharing, situation assessment, multi-sensor data integration and numerous other functions to support decision makers and analysts. The problem of providing trustworthy data to users is an inherently difficult problem that requires articulated solutions combining different methods and techniques. In the talk we will first elaborate on the data trustworthiness challenge and discuss a trust fabric framework to address this challenge. The framework is centered on the need of trustworthiness and risk management for decision makers and analysts and includes four key components: identity management, usage management, provenance management and attack management. We will then present an initial approach for assess the trustworthiness of streaming data and discuss open research directions.

Short Bio:

Elisa Bertino is professor of Computer Science at Purdue University and serves as Research Director of the Center for Education and Research in Information Assurance and Security (CERIAS) and as interim director of CyberCenter. Previously she was a faculty member at Department of Computer Science and Communication of the University of Milan where she directed the DB&SEC laboratory. She has been a visiting researcher at the IBM Research Laboratory (now Almaden) in San Jose, at the Microelectronics and Computer Technology Corporation, at Rutgers University, at Telcordia Technologies. Her main research interests include security, privacy, digital identity management systems, database systems, and distributed systems. She serves (has served) on the editorial boards of several scientific journals, incuding IEEE Internet Computing, IEEE Security&Privacy, ACM Transactions on Information and System Security, ACM Transactions on the Web.

Elisa Bertino is a Fellow of IEEE and a Fellow of ACM. She received the 2002 IEEE Computer Society Technical Achievement Award for "For outstanding contributions to database systems and database security and advanced data management systems" and the 2005 IEEE Computer Society Tsutomu Kanai Award "For pioneering and innovative research contributions to secure distributed systems".